Keramat Jaya Ii Apartment
Keramat Jaya, 54000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
Keramat Jaya, 54000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 2
|
RM 190,000
|
RM 333
|
570 sqft
|
|
|
|
Level G
|
RM 200,000
|
RM 351
|
570 sqft
|
|
|
Level 11
|
RM 290,000
|
RM 369
|
786 sqft
|
|
|
|
Level 2
|
RM 280,000
|
RM 356
|
786 sqft
|
|
|
|
Level 2
|
RM 330,000
|
RM 420
|
786 sqft
|
|
|
|
Level 10
|
RM 280,000
|
RM 356
|
786 sqft
|
|
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New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
New Condo in PJ Damansara
From RM 600,000 · 800 sqft
Pet friendly condo. 10mins to 1Utama
Market Snapshot
ResidentialRM 280,000
RM 356 psfMedian transaction price
Keramat Jaya, 54000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
MapsKeramat Jaya Ii Apartment in Kuala Lumpur, Kuala Lumpur recorded 6 subsale transactions in 2022, with a median price of RM 280K and a median price per square foot (PSF) of RM 356.
This area consists exclusively of residential properties, with no commercial listings recorded.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 280K, with most transactions falling within a stable range of RM 230K to RM 330K, and a typical market range of RM 255K to RM 305K.
Most transactions involved flats, though some variety exists in the market.
For price per square foot, the median is RM 356, with most transactions between RM 329 and RM 383. The usual range is RM 320.84 to RM 391.84, showing that most units are priced quite close to each other. With an IQR of RM 71.00 and MAD of RM 27, the PSF demonstrates reasonable consistency across the market.
Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.